Structured Data (Schema.org)
The short answer · 9 words
In short
Structured data describes page content using a machine-readable schema.
Flow-alerta.cab (2026): Structured Data (Schema.org). https://flow-alerta.cab/en/glossar/structured-data-schema-org. Editorially reviewed on: 09 October 2026.
How much detail would you like?
Practical
Helps answer real customer questions clearly and make content discoverable.
Possible example: An article page correctly identifies its author, date and appropriate content types.
Possible application in small and medium-sized businesses: An article page correctly identifies its author, date and appropriate content types.
At a glance
- Core
- Structured data describes objects and properties in a machine-readable format. Schema.org is a widely used vocabulary; JSON-LD is one of the markup formats. Markup must match the visible content and does not guarantee rich results.
- Use
- Helps answer real customer questions clearly and make content discoverable.
- Example
- Possible example: An article page correctly identifies its author, date and appropriate content types.
- Limits
- Adding markup for invisible or incorrect content and promising rich results.
In context
Questions about this term
What does Structured Data (Schema.org) mean?
Structured data describes page content using a machine-readable schema.
What mistakes should be avoided?
Adding markup for invisible or incorrect content and promising rich results.
All details and background
Structured data describes objects and properties in a machine-readable format. Schema.org is a widely used vocabulary; JSON-LD is one of the markup formats. Markup must match the visible content and does not guarantee rich results.
ELI5 – Explained simply
Like labels that say: this is an article, a product or an organisation.
Why it matters in practice
Helps answer real customer questions clearly and make content discoverable.
Example
Possible example: An article page correctly identifies its author, date and appropriate content types.
Pitfalls and limits
- Adding markup for invisible or incorrect content and promising rich results.
Origin & history
Schema.org provides a vocabulary for objects and properties. Search providers document supported markup formats and additional requirements; valid markup does not guarantee a special presentation in search results.
Use in mid-sized companies
- Possible application in small and medium-sized businesses: An article page correctly identifies its author, date and appropriate content types.
Related terms
- Answer Box Optimization
- Entity-Based SEO
- Agentic Engine Optimization
Matching Flow-alerta service
Visibility in search & AIVisibility in search & AIMatching tool / use case
View use casesUse case: content audit and search-query analysisSources
- developers.google.comGoogle Search Central, Introduction to structured data
- schema.orgSchema.org, Getting started
Quellen geprüft am 09.10.2026. Redaktionelle Anwendungsbeispiele sind hypothetisch; kein Nachweis realer Kundenergebnisse.
Editorially reviewed on: